Helicone

Helicone is an AI gateway and observability platform for applications that use large language models (LLMs). It provides a unified, OpenAI-compatible application programming interface (API) for routing requests to model providers while recording request, cost, latency, and usage data.

• LLM gateway: Helicone provides a single API for accessing models from providers such as OpenAI, Anthropic, Google, and others.
• Request observability: Teams can inspect individual requests and analyze activity by session, user, prompt, model, and custom properties.
• Cost and performance monitoring: The platform tracks LLM spend, latency, and request volume to help teams identify operational changes and anomalies.
• Prompt development: Prompt management, datasets, a testing playground, evaluation scores, and user-feedback tools support prompt iteration and application testing.
• Reliability controls: Provider routing, automatic fallbacks, rate limits, and alerts help teams manage availability and request volume.
• Provider credential options: Organizations can use Helicone-managed provider access or supply their own provider API keys.

• Audience: AI application developers, machine learning engineers, platform teams, and product teams responsible for LLM-enabled services.
• Use cases: Centralizing LLM requests, troubleshooting model behavior, monitoring spend and latency, testing prompts, and managing fallback behavior across providers.

• API compatibility: Helicone supports OpenAI SDK-compatible integrations for TypeScript, Python, and cURL-based workflows.
• Model access: The vendor documents access to more than 100 models through its gateway.
• Integrations: Helicone documents integrations for OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter